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Measures of central tendency
describe the middle of sample
mean
calculated adding up all individual values within data set and dividing the results by number of values
outlier
extremely large or extremely small value compared other data values
median
data mid point, where half dat points greater than value and half are smaller
mode
number that appears most often in a data set
Normal distribution
symmetrical, mean median and mode all the same
Standard distribution
normal distribution mean zero and SD of one
Skewed distribution
contains a tail on one side or the other of the data set
Biomodal Distribution
A distribution containing two peaks
range
data set is the difference between largest and smallest values
Interquartile range
related to median, first and third quartiles
Quartiles
divide data into groups compromise one fourth of entire set
Standard Deviation
calculated by taking difference between each data point and the mean, squaring this value, dividing the sum of all these squared values by number of points in data minus one, then taking square root of result
Independent events
Have no effect on one another
Dependent events
have an impact on one another, such that order changes the probability
Mutually exclusive outcomes
cannot occur at the same time
Exhaustive
If there are no other possible outcomes
Null Hypothesis
hypothesis of equivalence
Type I error
Value of a is level of risk that we are willing to accept for incorrectly rejecting the null hypothesis
Type II Error
incorrectly fail to reject the null hypothesis
Power
Probability correctly rejecting a false null hypothesis
Confidence
probability correctly pairing to reject a true null hypothesis
Chart
present info in visual format and frequently used for categorical data
Pie Charts
Represent relative amounts of entities, popular in demographics
Bar Charts
Used for categorical data, which sorts data points based on predetermined categories
Histograms
Present numerical data rather than describe categories
Box Plot
Used to show range median quartile and outlier for set of data
Box and Whisker
labeled box plot
Map
data illustrated geographically
Linear group
show relationship between two variable
Semilog graph
specialized represenation of log data set
log log graph
when both axes uses constant ratio from point to point on axis
Correlation
connection between data